cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.chem-ph -化学物理 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.stat-mech]Learning to grow: control of materials self-assembly using evolutionary reinforcement learning
• [cs.AI]Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours
• [cs.AI]Collective Embedding-based Entity Alignment via Adaptive Features
• [cs.AI]Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation
• [cs.AI]Hierarchical Deep Q-Network with Forgetting from Imperfect Demonstrations in Minecraft
• [cs.AI]Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning
• [cs.AI]Uncovering Relations for Marketing Knowledge Representation
• [cs.CL]A Survey on Document-level Machine Translation: Methods and Evaluation
• [cs.CL]Chinese Named Entity Recognition Augmented with Lexicon Memory
• [cs.CL]DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog
• [cs.CL]Generating summaries tailored to target characteristics
• [cs.CL]MALA: Cross-Domain Dialogue Generation with Action Learning
• [cs.CL]Multi-channel Reverse Dictionary Model
• [cs.CL]Open Set Authorship Attribution toward Demystifying Victorian Periodicals
• [cs.CL]PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
• [cs.CL]The performance evaluation of Multi-representation in the Deep Learning models for Relation Extraction Task
• [cs.CL]Towards an automatic recognition of mixed languages: The Ukrainian-Russian hybrid language Surzhyk
• [cs.CR]Enjoy the Untrusted Cloud: A Secure, Scalable and Efficient SQL-like Query Framework for Outsourcing Data
• [cs.CV]A Cross-Modal Image Fusion Theory Guided by Human Visual Characteristics
• [cs.CV]A Probabilistic approach for Learning Embeddings without Supervision
• [cs.CV]A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning
• [cs.CV]ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture
• [cs.CV]Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game
• [cs.CV]CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
• [cs.CV]Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift
• [cs.CV]Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
• [cs.CV]Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling
• [cs.CV]Detecting Adversarial Attacks On Audio-Visual Speech Recognition
• [cs.CV]Fingerprint Spoof Detection: Temporal Analysis of Image Sequence
• [cs.CV]FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
• [cs.CV]GlobalTrack: A Simple and Strong Baseline for Long-term Tracking
• [cs.CV]Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations
• [cs.CV]Learning from Synthetic Animals
• [cs.CV]Lightweight and Robust Representation of Economic Scales from Satellite Imagery
• [cs.CV]M$^2$: Meshed-Memory Transformer for Image Captioning
• [cs.CV]One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block
• [cs.CV]P-CapsNets: a General Form of Convolutional Neural Networks
• [cs.CV]Progressive VAE Training on Highly Sparse and Imbalanced Data
• [cs.CV]Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware
• [cs.CV]Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss
• [cs.CV]Self-Attention Network for Skeleton-based Human Action Recognition
• [cs.CV]SynSin: End-to-end View Synthesis from a Single Image
• [cs.CV]Towards Robust Learning with Different Label Noise Distributions
• [cs.CV]ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization
• [cs.CV]s-DRN: Stabilized Developmental Resonance Network
• [cs.CY]Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?
• [cs.CY]Why we need an AI-resilient society
• [cs.DC]Adaptive Scheduling for Efficient Execution of Dynamic Stream Workflows
• [cs.DC]Decentralized Runtime Verification for LTL Properties Using Global Clock
• [cs.DC]Edge Computing: A Comprehensive Survey of Current Initiatives and a Roadmap for a Sustainable Edge Computing Development
• [cs.DC]HDOT — an Approach Towards Productive Programming of Hybrid Applications
• [cs.DC]Multi-Criteria-based Dynamic User Behaviour Aware Resource Allocation in Fog Computing
• [cs.DC]Scalable Pattern Matching in Metadata Graphs via Constraint Checking
• [cs.DC]Scheduling Algorithms for Efficient Execution of Stream Workflow Applications in Multicloud Environments
• [cs.ET]Mitigate Parasitic Resistance in Resistive Crossbar-based Convolutional Neural Networks
• [cs.ET]Three dimensional waveguide-interconnects for scalable integration of photonic neural networks
• [cs.HC]A Promising Method for Touch-typing Keyboard Rendering
• [cs.HC]Conversational Agents for Insurance Companies: From Theory to Practice
• [cs.HC]How the Mechanical Properties and Thickness of Glass Affect TPaD Performance
• [cs.HC]Visualizing and Analyzing Entity Activity on the Bitcoin Network
• [cs.IR]Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking
• [cs.IR]Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation
• [cs.IR]Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems
• [cs.IR]Semantic integration of disease-specific knowledge
• [cs.IT]5G Positioning and Mapping with Diffuse Multipath
• [cs.IT]Enumeration of Minimum Hamming Weight Polar Codewords with Sublinear Complexity
• [cs.IT]Robust Baseband Compression Against Congestion in Packet-Based Fronthaul Networks Using Multiple Description Coding
• [cs.LG]Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
• [cs.LG]Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation
• [cs.LG]Cost-Sensitive Feature-Value Acquisition Using Feature Relevance
• [cs.LG]CoulGAT: An Experiment on Interpretability of Graph Attention Networks
• [cs.LG]Distributional Reinforcement Learning for Energy-Based Sequential Models
• [cs.LG]Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
• [cs.LG]Fair Contextual Multi-Armed Bandits: Theory and Experiments
• [cs.LG]Feature engineering workflow for activity recognition from synchronized inertial measurement units
• [cs.LG]Frequency-Aware Reconstruction of Fluid Simulations with Generative Networks
• [cs.LG]HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting
• [cs.LG]Incremental ELMVIS for unsupervised learning
• [cs.LG]Interleaved Composite Quantization for High-Dimensional Similarity Search
• [cs.LG]Kernel-Based Ensemble Learning in Python
• [cs.LG]Learning from i.i.d. data under model miss-specification
• [cs.LG]On the Bias-Variance Tradeoff: Textbooks Need an Update
• [cs.LG]Preventing Information Leakage with Neural Architecture Search
• [cs.LG]Provable Non-Convex Optimization and Algorithm Validation via Submodularity
• [cs.LG]RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms
• [cs.LG]Relational Mimic for Visual Adversarial Imitation Learning
• [cs.LG]Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior
• [cs.LG]TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis
• [cs.LG]srlearn: A Python Library for Gradient-Boosted Statistical Relational Models
• [cs.MA]Inverse Graph Learning over Optimization Networks
• [cs.NE]Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks
• [cs.RO]A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach
• [cs.RO]A Data-driven, Falsification-based Model of Human Driver Behavior
• [cs.RO]A Tip Mount for Carrying Payloads using Soft Growing Robots
• [cs.RO]Centralized Conflict-free Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization
• [cs.RO]RF Backscatter-based State Estimation for Micro Aerial Vehicles
• [cs.SI]Competitive Contagion with Sparse Seeding
• [cs.SI]Hierarchical Decomposition Mechanism by König-Egérvary Layer-Subgraph with Application on Vertex-Cover
• [cs.SI]Multi-Channel Graph Convolutional Networks
• [cs.SI]Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition
• [eess.AS]Ene-to-end training of time domain audio separation and recognition
• [eess.IV]Adaptive Densely Connected Super-Resolution Reconstruction
• [eess.IV]Computationally Efficient Neural Image Compression
• [eess.IV]Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline
• [eess.IV]Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data
• [eess.IV]MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation
• [eess.IV]The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method
• [eess.IV]Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
• [eess.SP]Impact of Backward Crosstalk in 2x2 MIMO Transmitters on NMSE and Spectral Efficiency
• [eess.SP]Multiple Antenna Multicast Transmission Assisted by Reconfigurable Intelligent Surfaces
• [eess.SP]Poisson Multi-Bernoulli Mixtures for Sets of Trajectories
• [eess.SY]Kalman Filter Tuning with Bayesian Optimization
• [math.NA]Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares
• [math.OC]Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions
• [math.OC]Optimal Perimeter Guarding with Heterogeneous Robot Teams: Complexity Analysis and Effective Algorithms
• [math.OC]Primal-dual optimization methods for large-scale and distributed data analytics
• [math.ST]Mean skewness measures
• [math.ST]Method of moments estimators for the extremal index of a stationary time series
• [math.ST]Randomization empirical processes
• [math.ST]Sequential change point tests based on U-statistics
• [physics.chem-ph]Neural networks and kernel ridge regression for excited states dynamics of CH$_2$NH$_2^+$: From single-state to multi-state representations and multi-property machine learning models
• [physics.soc-ph]Influential spreaders for recurrent epidemics on networks
• [q-bio.QM]Clusters in Explanation Space: Inferring disease subtypes from model explanations
• [quant-ph]Capacity Bounds for Quantum Communications through Quantum Trajectories
• [quant-ph]General Mixed State Quantum Data Compression with and without Entanglement Assistance
• [quant-ph]Transfer learning in hybrid classical-quantum neural networks
• [stat.AP]A generalization of Ramos-Louzada distribution: Properties and estimation
• [stat.AP]A quadratic linear-parabolic model-based classification to detect epileptic EEG seizures
• [stat.AP]Cluster Analysis of High-Dimensional scRNA Sequencing Data
• [stat.AP]Estimating the probability of accidental mark locations on a shoe sole
• [stat.AP]Interpreting Missing Data Patterns in the ICU
• [stat.AP]Statistical Analysis of the Phosphate Data of the World Ocean Database 2013
• [stat.AP]Teaching Design of Experiments using Hasse diagrams
• [stat.ME]A Bivariate Dead Band Process Adjustment Policy
• [stat.ME]Multidimensional molecular changes-environment interaction analysis for disease outcomes
• [stat.ML]Analytic expressions for the output evolution of a deep neural network
• [stat.ML]Bayesian Topological Learning for Brain State Classification
• [stat.ML]Benchmarking the Neural Linear Model for Regression
• [stat.ML]Extrinsic Kernel Ridge Regression Classifier for Planar Kendall Shape Space
• [stat.ML]Generalized Residual Ratio Thresholding
• [stat.ML]The Brier Score under Administrative Censoring: Problems and Solutions
• [stat.ML]Tree pyramidal adaptive importance sampling
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• [cond-mat.stat-mech]Learning to grow: control of materials self-assembly using evolutionary reinforcement learning
Stephen Whitelam, Isaac Tamblyn
http://arxiv.org/abs/1912.08333v1
• [cs.AI]Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours
Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan
http://arxiv.org/abs/1912.08388v1
• [cs.AI]Collective Embedding-based Entity Alignment via Adaptive Features
Wexin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin
http://arxiv.org/abs/1912.08404v1
• [cs.AI]Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation
Marcio Moreno, Daniel Civitarese, Rafael Brandao, Renato Cerqueira
http://arxiv.org/abs/1912.08740v1
• [cs.AI]Hierarchical Deep Q-Network with Forgetting from Imperfect Demonstrations in Minecraft
Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov, Kirill Aksenov, Vasilii Davydov, Aleksandr I. Panov
http://arxiv.org/abs/1912.08664v1
• [cs.AI]Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning
Eivind Meyer, Haakon Robinson, Adil Rasheed, Omer San
http://arxiv.org/abs/1912.08578v1
• [cs.AI]Uncovering Relations for Marketing Knowledge Representation
Somak Aditya, Atanu Sinha
http://arxiv.org/abs/1912.08374v1
• [cs.CL]A Survey on Document-level Machine Translation: Methods and Evaluation
Sameen Maruf, Fahimeh Saleh, Gholamreza Haffari
http://arxiv.org/abs/1912.08494v1
• [cs.CL]Chinese Named Entity Recognition Augmented with Lexicon Memory
Yi Zhou, Xiaoqing Zheng, Xuanjing Huang
http://arxiv.org/abs/1912.08282v1
• [cs.CL]DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog
Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou
http://arxiv.org/abs/1912.08360v1
• [cs.CL]Generating summaries tailored to target characteristics
Kushal Chawla, Hrituraj Singh, Arijit Pramanik, Mithlesh Kumar, Balaji Vasan Srinivasan
http://arxiv.org/abs/1912.08492v1
• [cs.CL]MALA: Cross-Domain Dialogue Generation with Action Learning
Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang
http://arxiv.org/abs/1912.08442v1
• [cs.CL]Multi-channel Reverse Dictionary Model
Lei Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun
http://arxiv.org/abs/1912.08441v1
• [cs.CL]Open Set Authorship Attribution toward Demystifying Victorian Periodicals
Sarkhan Badirli, Mary Borgo Ton, Abdulmecit Gungor, Murat Dundar
http://arxiv.org/abs/1912.08259v1
• [cs.CL]PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu
http://arxiv.org/abs/1912.08777v1
• [cs.CL]The performance evaluation of Multi-representation in the Deep Learning models for Relation Extraction Task
Jefferson A. Peña Torres, Raul Ernesto Gutierrez, Victor A. Bucheli, Fabio A. Gonzalez O
http://arxiv.org/abs/1912.08290v1
• [cs.CL]Towards an automatic recognition of mixed languages: The Ukrainian-Russian hybrid language Surzhyk
Nataliya Sira, Giorgio Maria Di Nunzio, Viviana Nosilia
http://arxiv.org/abs/1912.08582v1
• [cs.CR]Enjoy the Untrusted Cloud: A Secure, Scalable and Efficient SQL-like Query Framework for Outsourcing Data
Yaxing Chen, Qinghua Zheng, Dan Liu, Zheng Yan, Wenhai Sun, Ning Zhang, Wenjing Lou, Y. Thomas Hou
http://arxiv.org/abs/1912.08454v1
• [cs.CV]A Cross-Modal Image Fusion Theory Guided by Human Visual Characteristics
Aiqing Fang, Xinbo Zhao, Yanning Zhang
http://arxiv.org/abs/1912.08577v1
• [cs.CV]A Probabilistic approach for Learning Embeddings without Supervision
Ujjal Kr Dutta, Mehrtash Harandi, Chandra Sekhar Chellu
http://arxiv.org/abs/1912.08275v1
• [cs.CV]A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning
Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Anton Akusok
http://arxiv.org/abs/1912.08644v1
• [cs.CV]ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture
Sena Kiciroglu, Helge Rhodin, Sudipta Sinha, Mathieu Salzmann, Pascal Fua
http://arxiv.org/abs/1912.08568v1
• [cs.CV]Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game
Luca Weihs, Aniruddha Kembhavi, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi
http://arxiv.org/abs/1912.08195v2
• [cs.CV]CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
Jiadong Liang, Wenjie Pei, Feng Lu
http://arxiv.org/abs/1912.08562v1
• [cs.CV]Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift
Da Chen, Feng Mao, Mingli Song, Yuan He, Xiang Wu, Jinqiao Wang, Wenbin Li, Yongliang Yang, Hui Xue
http://arxiv.org/abs/1912.08395v1
• [cs.CV]Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
Jiayu Yang, Wei Mao, Jose M. Alvarez, Miaomiao Liu
http://arxiv.org/abs/1912.08329v1
• [cs.CV]Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling
Tianrui Liu, Wenhan Luo, Lin Ma, Jun-Jie Huang, Tania Stathaki, Tianhong Dai
http://arxiv.org/abs/1912.08661v1
• [cs.CV]Detecting Adversarial Attacks On Audio-Visual Speech Recognition
Pingchuan Ma, Stavros Petridis, Maja Pantic
http://arxiv.org/abs/1912.08639v1
• [cs.CV]Fingerprint Spoof Detection: Temporal Analysis of Image Sequence
Tarang Chugh, Anil K. Jain
http://arxiv.org/abs/1912.08240v1
• [cs.CV]FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
Georg Krispel, Michael Opitz, Georg Waltner, Horst Possegger, Horst Bischof
http://arxiv.org/abs/1912.08487v1
• [cs.CV]GlobalTrack: A Simple and Strong Baseline for Long-term Tracking
Lianghua Huang, Xin Zhao, Kaiqi Huang
http://arxiv.org/abs/1912.08531v1
• [cs.CV]Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations
Bhavan Vasu, Chengjiang Long
http://arxiv.org/abs/1912.08387v1
• [cs.CV]Learning from Synthetic Animals
Jiteng Mu, Weichao Qiu, Gregory Hager, Alan Yuille
http://arxiv.org/abs/1912.08265v1
• [cs.CV]Lightweight and Robust Representation of Economic Scales from Satellite Imagery
Sungwon Han, Donghyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha
http://arxiv.org/abs/1912.08197v1
• [cs.CV]M$^2$: Meshed-Memory Transformer for Image Captioning
Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, Rita Cucchiara
http://arxiv.org/abs/1912.08226v1
• [cs.CV]One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block
Hongyu Liu, Bin Jiang, Wei Huang, Chao Yang
http://arxiv.org/abs/1912.08642v1
• [cs.CV]P-CapsNets: a General Form of Convolutional Neural Networks
Zhenhua Chen, Xiwen Li, Chuhua Wang, David Crandall
http://arxiv.org/abs/1912.08367v1
• [cs.CV]Progressive VAE Training on Highly Sparse and Imbalanced Data
Dmitry Utyamishev, Inna Partin-Vaisband
http://arxiv.org/abs/1912.08283v1
• [cs.CV]Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware
Yeshwanth Ravi Theja Bethi, Sathyaprakash Narayanan, Chetan Singh Thakur
http://arxiv.org/abs/1912.08519v1
• [cs.CV]Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss
Jia Li, Jinming Su, Changqun Xia, Yonghong Tian
http://arxiv.org/abs/1912.08393v1
• [cs.CV]Self-Attention Network for Skeleton-based Human Action Recognition
Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu, Hassan Foroosh
http://arxiv.org/abs/1912.08435v1
• [cs.CV]SynSin: End-to-end View Synthesis from a Single Image
Olivia Wiles, Georgia Gkioxari, Richard Szeliski, Justin Johnson
http://arxiv.org/abs/1912.08804v1
• [cs.CV]Towards Robust Learning with Different Label Noise Distributions
Diego Ortego, Eric Arazo, Paul Albert, Noel E. O’Connor, Kevin McGuinness
http://arxiv.org/abs/1912.08741v1
• [cs.CV]ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization
Felix Ott, Tobias Feigl, Christoffer Löffler, Christopher Mutschler
http://arxiv.org/abs/1912.08263v1
• [cs.CV]s-DRN: Stabilized Developmental Resonance Network
In-Ug Yoon, Ue-Hwan Kim, Jong-Hwan
http://arxiv.org/abs/1912.08541v1
• [cs.CY]Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?
R. Stuart Geiger, Kevin Yu, Yanlai Yang, Mindy Dai, Jie Qiu, Rebekah Tang, Jenny Huang
http://arxiv.org/abs/1912.08320v1
• [cs.CY]Why we need an AI-resilient society
Thomas Bartz-Beielstein
http://arxiv.org/abs/1912.08786v1
• [cs.DC]Adaptive Scheduling for Efficient Execution of Dynamic Stream Workflows
Mutaz Barika, Saurabh Garg, Rajiv Ranjan
http://arxiv.org/abs/1912.08397v1
• [cs.DC]Decentralized Runtime Verification for LTL Properties Using Global Clock
M. Ali Dorosty, Fathiyeh Faghih, Ehsan Khamespanah
http://arxiv.org/abs/1912.07365v2
• [cs.DC]Edge Computing: A Comprehensive Survey of Current Initiatives and a Roadmap for a Sustainable Edge Computing Development
Andrea Hamm, Alexander Willner, Ina Schieferdecker
http://arxiv.org/abs/1912.08530v1
• [cs.DC]HDOT — an Approach Towards Productive Programming of Hybrid Applications
Jan Ciesko, Pedro J. Martínez-Ferrer, Raúl Peñacoba Veigas, Xavier Teruel, Vicenç Beltran
http://arxiv.org/abs/1912.08464v1
• [cs.DC]Multi-Criteria-based Dynamic User Behaviour Aware Resource Allocation in Fog Computing
Ranesh Kumar Naha, Saurabh Garg
http://arxiv.org/abs/1912.08319v1
• [cs.DC]Scalable Pattern Matching in Metadata Graphs via Constraint Checking
Tahsin Reza, Hassan Halawa, Matei Ripeanu, Geoffrey Sanders, Roger Pearce
http://arxiv.org/abs/1912.08453v1
• [cs.DC]Scheduling Algorithms for Efficient Execution of Stream Workflow Applications in Multicloud Environments
Mutaz Barika, Saurabh Garg, Andrew Chan, Rodrigo N. Calheiros
http://arxiv.org/abs/1912.08392v1
• [cs.ET]Mitigate Parasitic Resistance in Resistive Crossbar-based Convolutional Neural Networks
Fan Zhang, Miao Hu
http://arxiv.org/abs/1912.08716v1
• [cs.ET]Three dimensional waveguide-interconnects for scalable integration of photonic neural networks
Johnny Moughames, Xavier Porte, Michael Thiel, Gwenn Ulliac, Maxime Jacquot, Laurent Larger, Muamer Kadic, Daniel Brunner
http://arxiv.org/abs/1912.08203v1
• [cs.HC]A Promising Method for Touch-typing Keyboard Rendering
Heng Xu, Roberta L. Klatzky, Michael A. Peshkin, J. Edward Colgate
http://arxiv.org/abs/1912.08381v1
• [cs.HC]Conversational Agents for Insurance Companies: From Theory to Practice
Falko Koetter, Matthias Blohm, Jens Drawehn, Monika Kochanowski, Joscha Goetzer, Daniel Graziotin, Stefan Wagner
http://arxiv.org/abs/1912.08473v1
• [cs.HC]How the Mechanical Properties and Thickness of Glass Affect TPaD Performance
Heng Xu, Michael A. Peshkin, J. Edward Colgate
http://arxiv.org/abs/1912.08377v1
• [cs.HC]Visualizing and Analyzing Entity Activity on the Bitcoin Network
Christoph Kinkeldey, Jean-Daniel Fekete, Tanja Blascheck, Petra Isenberg
http://arxiv.org/abs/1912.08101v2
• [cs.IR]Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking
Gustavo Penha, Claudia Hauff
http://arxiv.org/abs/1912.08555v1
• [cs.IR]Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation
Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang
http://arxiv.org/abs/1912.08422v1
• [cs.IR]Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems
Andrew Collins, Joeran Beel
http://arxiv.org/abs/1912.08694v1
• [cs.IR]Semantic integration of disease-specific knowledge
Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara, Georgios Paliouras
http://arxiv.org/abs/1912.08633v1
• [cs.IT]5G Positioning and Mapping with Diffuse Multipath
Fuxi Wen, Josef Kulmer, Klaus Witrisal, Henk Wymeersch
http://arxiv.org/abs/1912.08697v1
• [cs.IT]Enumeration of Minimum Hamming Weight Polar Codewords with Sublinear Complexity
Fengyi Cheng, Aijun Liu, Jincheng Dai, Kai Niu, Xiaohu Liang
http://arxiv.org/abs/1912.08356v1
• [cs.IT]Robust Baseband Compression Against Congestion in Packet-Based Fronthaul Networks Using Multiple Description Coding
Seok-Hwan Park, Osvaldo Simeone, Shlomo Shamai
http://arxiv.org/abs/1912.08520v1
• [cs.LG]Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
Tianhong Dai, Kai Arulkumaran, Samyakh Tukra, Feryal Behbahani, Anil Anthony Bharath
http://arxiv.org/abs/1912.08324v1
• [cs.LG]Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation
Anton Akusok, Emil Eirola
http://arxiv.org/abs/1912.08616v1
• [cs.LG]Cost-Sensitive Feature-Value Acquisition Using Feature Relevance
Kimmo Kärkkäinen, Mohammad Kachuee, Orpaz Goldstein, Majid Sarrafzadeh
http://arxiv.org/abs/1912.08281v1
• [cs.LG]CoulGAT: An Experiment on Interpretability of Graph Attention Networks
Burc Gokden
http://arxiv.org/abs/1912.08409v1
• [cs.LG]Distributional Reinforcement Learning for Energy-Based Sequential Models
Tetiana Parshakova, Jean-Marc Andreoli, Marc Dymetman
http://arxiv.org/abs/1912.08517v1
• [cs.LG]Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Hongxu Yin, Pavlo Molchanov, Zhizhong Li, Jose M. Alvarez, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz
http://arxiv.org/abs/1912.08795v1
• [cs.LG]Fair Contextual Multi-Armed Bandits: Theory and Experiments
Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis
http://arxiv.org/abs/1912.08055v1
• [cs.LG]Feature engineering workflow for activity recognition from synchronized inertial measurement units
Andreas W. Kempa-Liehr, Jonty Oram, Andrew Wong, Mark Finch, Thor Besier
http://arxiv.org/abs/1912.08394v1
• [cs.LG]Frequency-Aware Reconstruction of Fluid Simulations with Generative Networks
Simon Biland, Vinicius C. Azevedo, Byungsoo Kim, Barbara Solenthaler
http://arxiv.org/abs/1912.08776v1
• [cs.LG]HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting
Geunseob Oh, Jean-Sebastien Valois
http://arxiv.org/abs/1912.08111v2
• [cs.LG]Incremental ELMVIS for unsupervised learning
Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse
http://arxiv.org/abs/1912.08638v1
• [cs.LG]Interleaved Composite Quantization for High-Dimensional Similarity Search
Soroosh Khoram, Stephen J Wright, Jing Li
http://arxiv.org/abs/1912.08756v1
• [cs.LG]Kernel-Based Ensemble Learning in Python
Benjamin Guedj, Bhargav Srinivasa Desikan
http://arxiv.org/abs/1912.08311v1
• [cs.LG]Learning from i.i.d. data under model miss-specification
Andres R. Masegosa
http://arxiv.org/abs/1912.08335v1
• [cs.LG]On the Bias-Variance Tradeoff: Textbooks Need an Update
Brady Neal
http://arxiv.org/abs/1912.08286v1
• [cs.LG]Preventing Information Leakage with Neural Architecture Search
Shuang Zhang, Liyao Xiang, Congcong Li, Yixuan Wang, Zeyu Liu, Quanshi Zhang, Bo Li
http://arxiv.org/abs/1912.08421v1
• [cs.LG]Provable Non-Convex Optimization and Algorithm Validation via Submodularity
Yatao An Bian
http://arxiv.org/abs/1912.08495v1
• [cs.LG]RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms
Varun Nair, Javier Fuentes Alonso, Tony Beltramelli
http://arxiv.org/abs/1912.08766v1
• [cs.LG]Relational Mimic for Visual Adversarial Imitation Learning
Lionel Blondé, Yichuan Charlie Tang, Jian Zhang, Russ Webb
http://arxiv.org/abs/1912.08444v1
• [cs.LG]Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior
Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould
http://arxiv.org/abs/1912.08521v1
• [cs.LG]TOCO: A Framework for Compressing Neural Network Models Based on Tolerance Analysis
Soroosh Khoram, Jing Li
http://arxiv.org/abs/1912.08792v1
• [cs.LG]srlearn: A Python Library for Gradient-Boosted Statistical Relational Models
Alexander L. Hayes
http://arxiv.org/abs/1912.08198v1
• [cs.MA]Inverse Graph Learning over Optimization Networks
Vincenzo Matta, Augusto Santos, Ali H. Sayed
http://arxiv.org/abs/1912.08465v1
• [cs.NE]Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks
Piotr S. Maciąg, Marzena Kryszkiewicz, Robert Bembenik, Jesus L. Lobo, Javier Del Ser
http://arxiv.org/abs/1912.08785v1
• [cs.RO]A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach
Nathan K Long, Karl Sammut, Daniel Sgarioto, Matthew Garratt, Hussein Abbass
http://arxiv.org/abs/1912.07796v2
• [cs.RO]A Data-driven, Falsification-based Model of Human Driver Behavior
Nauman Sohani, Geunseob Oh, Xinpeng Wang
http://arxiv.org/abs/1912.08361v1
• [cs.RO]A Tip Mount for Carrying Payloads using Soft Growing Robots
Sang-Goo Jeong, Margaret M. Coad, Laura H. Blumenschein, Ming Luo, Usman Mehmood, Ji Hun Kim, Allison M. Okamura, Jee-Hwan Ryu
http://arxiv.org/abs/1912.08297v1
• [cs.RO]Centralized Conflict-free Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization
Yang Guan, Yangang Ren, Shengbo Eben Li, Qi Sun, Laiquan Luo, Koji Taguchi, Keqiang Li
http://arxiv.org/abs/1912.08410v1
• [cs.RO]RF Backscatter-based State Estimation for Micro Aerial Vehicles
Shengkai Zhang, Wei Wang, Ning Zhang, Tao Jiang
http://arxiv.org/abs/1912.08655v1
• [cs.SI]Competitive Contagion with Sparse Seeding
Milad Siami, Amir Ajorlou, Ali Jadbabaie
http://arxiv.org/abs/1912.08243v1
• [cs.SI]Hierarchical Decomposition Mechanism by König-Egérvary Layer-Subgraph with Application on Vertex-Cover
Xiangnan Feng, Wei Wei, Jiannan Wang, Xue Liu, Zhiming Zheng
http://arxiv.org/abs/1912.08559v1
• [cs.SI]Multi-Channel Graph Convolutional Networks
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
http://arxiv.org/abs/1912.08306v1
• [cs.SI]Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition
Yuxiang Ren, Lin Meng, Jiawei Zhang
http://arxiv.org/abs/1912.08372v1
• [eess.AS]Ene-to-end training of time domain audio separation and recognition
Thilo von Neumann, Keisuke Kinoshita, Lukas Drude, Christoph Boeddeker, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach
http://arxiv.org/abs/1912.08462v1
• [eess.IV]Adaptive Densely Connected Super-Resolution Reconstruction
Tangxin Xie, Xin Yang, Yu Jia, Chen Zhu, Xiaochuan Li
http://arxiv.org/abs/1912.08002v2
• [eess.IV]Computationally Efficient Neural Image Compression
Nick Johnston, Elad Eban, Ariel Gordon, Johannes Ballé
http://arxiv.org/abs/1912.08771v1
• [eess.IV]Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline
Ilaria Bonavita, Xavier Rafael-Palou, Mario Ceresa, Gemma Piella, Vicent Ribas, Miguel A. González Ballester
http://arxiv.org/abs/1912.08679v1
• [eess.IV]Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data
Jeya Maria Jose V., Rajeev Yasarla, Puyang Wang, Ilker Hacihaliloglu, Vishal M. Patel
http://arxiv.org/abs/1912.08364v1
• [eess.IV]MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation
Darvin Yi, Endre Grøvik, Michael Iv, Elizabeth Tong, Kyrre Eeg Emblem, Line Brennhaug Nilsen, Cathrine Saxhaug, Anna Latysheva, Kari Dolven Jacobsen, Åslaug Helland, Greg Zaharchuk, Daniel Rubin
http://arxiv.org/abs/1912.08775v1
• [eess.IV]The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method
YeongHyeon Park, Il Dong Yun, Si-Hyuck Kang
http://arxiv.org/abs/1912.08375v1
• [eess.IV]Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
Chen Wu, Hongruixuan Chen, Bo Do, Liangpei Zhang
http://arxiv.org/abs/1912.08628v1
• [eess.SP]Impact of Backward Crosstalk in 2x2 MIMO Transmitters on NMSE and Spectral Efficiency
Peter Händel, Özlem Tugfe Demir, Emil Björnson, Daniel Rönnow
http://arxiv.org/abs/1912.08528v1
• [eess.SP]Multiple Antenna Multicast Transmission Assisted by Reconfigurable Intelligent Surfaces
Linsong Du, Jianhui Ma, Qinpeng Liang, Youxi Tang
http://arxiv.org/abs/1912.07960v1
• [eess.SP]Poisson Multi-Bernoulli Mixtures for Sets of Trajectories
Karl Granström, Lennart Svensson, Yuxuan Xia, Jason Williams, Ángel F. García-Fernández
http://arxiv.org/abs/1912.08718v1
• [eess.SY]Kalman Filter Tuning with Bayesian Optimization
Zhaozhong Chen, Nisar Ahmed, Simon Julier, Christoffer Heckman
http://arxiv.org/abs/1912.08601v1
• [math.NA]Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares
M. A. Iwen, D. Needell, E. Rebrova, A. Zare
http://arxiv.org/abs/1912.08294v1
• [math.OC]Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions
Orlando Romero, Mouhacine Benosman
http://arxiv.org/abs/1912.08342v1
• [math.OC]Optimal Perimeter Guarding with Heterogeneous Robot Teams: Complexity Analysis and Effective Algorithms
Si Wei Feng, Jingjin Yu
http://arxiv.org/abs/1912.08591v1
• [math.OC]Primal-dual optimization methods for large-scale and distributed data analytics
Dusan Jakovetic, Dragana Bajovic, Joao Xavier, Jose M. F. Moura
http://arxiv.org/abs/1912.08546v1
• [math.ST]Mean skewness measures
Chandima N. P. G. Arachchige, Luke A. Prendergast
http://arxiv.org/abs/1912.06996v2
• [math.ST]Method of moments estimators for the extremal index of a stationary time series
Axel Bücher, Tobias Jennessen
http://arxiv.org/abs/1912.08584v1
• [math.ST]Randomization empirical processes
Dennis Dobler
http://arxiv.org/abs/1912.08233v1
• [math.ST]Sequential change point tests based on U-statistics
Claudia Kirch, Christina Stoehr
http://arxiv.org/abs/1912.08580v1
• [physics.chem-ph]Neural networks and kernel ridge regression for excited states dynamics of CH$_2$NH$_2^+$: From single-state to multi-state representations and multi-property machine learning models
Julia Westermayr, Felix A. Faber, Anders S. Christensen, O. Anatole von Lilienfeld, Philipp Marquetand
http://arxiv.org/abs/1912.08484v1
• [physics.soc-ph]Influential spreaders for recurrent epidemics on networks
Gaël Poux-Médard, Romualdo Pastor-Satorras, Claudio Castellano
http://arxiv.org/abs/1912.08459v1
• [q-bio.QM]Clusters in Explanation Space: Inferring disease subtypes from model explanations
Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok, Konstantinos Georgatzis
http://arxiv.org/abs/1912.08755v1
• [quant-ph]Capacity Bounds for Quantum Communications through Quantum Trajectories
Angela Sara Cacciapuoti, Marcello Caleffi
http://arxiv.org/abs/1912.08575v1
• [quant-ph]General Mixed State Quantum Data Compression with and without Entanglement Assistance
Zahra Baghali Khanian, Andreas Winter
http://arxiv.org/abs/1912.08506v1
• [quant-ph]Transfer learning in hybrid classical-quantum neural networks
Andrea Mari, Thomas R. Bromley, Josh Izaac, Maria Schuld, Nathan Killoran
http://arxiv.org/abs/1912.08278v1
• [stat.AP]A generalization of Ramos-Louzada distribution: Properties and estimation
Hazem Al-Mofleh, Ahmed Z. Afify
http://arxiv.org/abs/1912.08799v1
• [stat.AP]A quadratic linear-parabolic model-based classification to detect epileptic EEG seizures
Antonio Quintero-Rincon, Carlos D’Giano, Hadj Batatia
http://arxiv.org/abs/1912.08359v1
• [stat.AP]Cluster Analysis of High-Dimensional scRNA Sequencing Data
Jiawei Long, Yu Xia
http://arxiv.org/abs/1912.08400v1
• [stat.AP]Estimating the probability of accidental mark locations on a shoe sole
Naomi Kaplan Damary, Micha Mandel, Yoram Yekutieli, Sarena Wiesner, Yaron Shor
http://arxiv.org/abs/1912.08272v1
• [stat.AP]Interpreting Missing Data Patterns in the ICU
Robert O’Shea
http://arxiv.org/abs/1912.08612v1
• [stat.AP]Statistical Analysis of the Phosphate Data of the World Ocean Database 2013
Joscha Reimer
http://arxiv.org/abs/1912.07384v1
• [stat.AP]Teaching Design of Experiments using Hasse diagrams
Hans-Michael Kaltenbach
http://arxiv.org/abs/1912.08567v1
• [stat.ME]A Bivariate Dead Band Process Adjustment Policy
Enrique del Castillo, Rainer Goeb
http://arxiv.org/abs/1912.08337v1
• [stat.ME]Multidimensional molecular changes-environment interaction analysis for disease outcomes
Yaqing Xu, Mengyun Wu, Shuangge Ma
http://arxiv.org/abs/1912.08370v1
• [stat.ML]Analytic expressions for the output evolution of a deep neural network
Anastasia Borovykh
http://arxiv.org/abs/1912.08526v1
• [stat.ML]Bayesian Topological Learning for Brain State Classification
Farzana Nasrin, Christopher Oballe, David L. Boothe, Vasileios Maroulas
http://arxiv.org/abs/1912.08348v1
• [stat.ML]Benchmarking the Neural Linear Model for Regression
Sebastian W. Ober, Carl Edward Rasmussen
http://arxiv.org/abs/1912.08416v1
• [stat.ML]Extrinsic Kernel Ridge Regression Classifier for Planar Kendall Shape Space
Hwiyoung Lee, Vic Patrangenaru
http://arxiv.org/abs/1912.08202v1
• [stat.ML]Generalized Residual Ratio Thresholding
Sreejith Kallummil, Sheetal Kalyani
http://arxiv.org/abs/1912.08637v1
• [stat.ML]The Brier Score under Administrative Censoring: Problems and Solutions
Håvard Kvamme, Ørnulf Borgan
http://arxiv.org/abs/1912.08581v1
• [stat.ML]Tree pyramidal adaptive importance sampling
Javier Felip, Nilesh Ahuja, Omesh Tickoo
http://arxiv.org/abs/1912.08434v1